Submitting your AI governance project
Submitting your AI governance project
If you're participating in the August 2024 Governance course, you'll have your final facilitated session this week. After this, you will:
Submit your project here by 24 November. Put the final touches on your project, and submit it to us for judging! We recommend you spend most of your efforts after session 12 on creating the final deliverable and communicating what you've done. You should produce some deliverables as a result of your project, such as:
- A paper
- A public blog post (e.g. on Ghost or Substack)
- A video (e.g. on YouTube)
- A website
- Some combination of the above
- Something else entirely
You can submit your project by using this form. You’ll also receive an email with the project submission link sometime this week.
(Optional) Prepare a 3-5 minute presentation of your work. You don’t need a slide deck, but you should be able to explain your project to other learners.
Attend the project closing event on 4 December. You’ll present your work to small breakouts with other learners. We’ll also announce the winners of the project competition, award prizes, and close out the course.
Tips on creating an excellent final deliverable
Explain what you managed to achieve. A common mistake is to write about the work you did, rather than what you achieved. Remember that negative results (i.e. when you discovered something didn’t work) are also good to publish!
Target a broad audience. Your product should be easy to understand by others - aim for a smart college student with some policy background. This doesn’t mean you need to dumb down your project - but it does mean you should:
- use accessible language
- define key terms, or link to good definitions of them
- structure writing with headers, topic sentences, and lists
Ask for feedback. Consider reaching out to connections you made in your learning and project cohorts, or from course networking events. A great tactic is to ask them to explain what they think your project is after reading - this often highlights where your deliverable isn't as clear as you thought it might be.